Experiments with hidden Markov models

This is a report on the results of our experiments with hidden Markov models, focusing on Markov chains with generative transitions and the Baum-Welch algorithm. We explore generating the hypothesis model in various ways. We use the hypothesis model as the original model. And we investigate the feas...

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Bibliographic Details
Main Authors: Arnþór Logi Arnarson 1976-, Eva Ósk Gunnarsdóttir 1999-
Other Authors: Háskólinn í Reykjavík
Format: Thesis
Language:English
Published: 2021
Subjects:
Tölvunarstærðfræði
Reiknilíkön
Reiknirit
Discrete mathematics and computer science
Mathematical models
Computer algorithms
Reykjavík
Online Access:http://hdl.handle.net/1946/40438
Description
Summary:This is a report on the results of our experiments with hidden Markov models, focusing on Markov chains with generative transitions and the Baum-Welch algorithm. We explore generating the hypothesis model in various ways. We use the hypothesis model as the original model. And we investigate the feasibility of implementing a sequential version of the Baum-Welch algorithm. This research was motivated by the ongoing research on Active Learning of Markov Decision Processes using Baum-Welch algorithm, at the Department of Computer Science, Reykjavík University.

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